10 years of news and resources for members of the IEEE Signal Processing Society
Researchers from UC Berkeley have developed a deep learning model that can automatically transfer your font style. The model is named multi-content generative adversarial network (MC-GAN). It consists of a stacked conditional generative adversarial network (cGAN) architecture to predict the coarse glyph shapes and an ornamentation network to predict color and texture of the final glyphs. As an example, it can generate a new title with the same style from a movie poster.
Courtesy of the researchers
This is not the first time deep learning has been used for style transfer. For example, convolutional neural networks (CNN) can be used for image style transfer (see https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf).
For more details about MC-GAN, please visit their blog at http://bair.berkeley.edu/blog/2018/03/13/mcgan/.
© Copyright 2018 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.